{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d5714139-27aa-423e-b685-9d91937c95a8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "校验通过：汇总月度完成率与目标表完全一致！\n",
      "   月份   完成率\n",
      "0  1月  53.6\n",
      "1  2月  49.8\n",
      "2  3月  52.7\n",
      "3  4月  70.8\n",
      "4  5月  60.9\n",
      "5  6月  49.6\n",
      "6  7月  58.6\n",
      "7  8月  70.4\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import random\n",
    "import calendar\n",
    "from datetime import datetime\n",
    "from faker import Faker\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# =============== 1. 使用 Faker 生成模拟数据（erp_order 表） ===============\n",
    "\n",
    "fake = Faker(\"zh_CN\")\n",
    "Faker.seed(42)\n",
    "random.seed(42)\n",
    "np.random.seed(42)\n",
    "\n",
    "# 目标月份 1-8 月的计划完成率（与 Excel 完全一致）\n",
    "target_rates = {\n",
    "    1: 0.536,  # 53.60%\n",
    "    2: 0.498,  # 49.80%\n",
    "    3: 0.527,  # 52.70%\n",
    "    4: 0.708,  # 70.80%\n",
    "    5: 0.609,  # 60.90%\n",
    "    6: 0.496,  # 49.60%\n",
    "    7: 0.586,  # 58.60%\n",
    "    8: 0.704,  # 70.40%\n",
    "}\n",
    "\n",
    "N_PER_MONTH = 1000  # 每个月 1000 行，共 8000 行 >= 1000\n",
    "\n",
    "rows = []\n",
    "cur_id = 1\n",
    "\n",
    "# 一些枚举值\n",
    "status_choices = [\"已发货\", \"已完成\", \"待发货\", \"已取消\"]\n",
    "refund_status_choices = [\"未申请退款\", \"申请中\", \"成功退款\", \"退款关闭\"]\n",
    "platform_choices = [\"淘宝\", \"天猫\", \"京东\", \"抖音\", \"快手\"]\n",
    "\n",
    "for month in range(1, 9):\n",
    "    rate = target_rates[month]\n",
    "    n_rows = N_PER_MONTH\n",
    "    # 为了让汇总完成率精确等于目标值：总应付 = 1000，已付 = 目标比例 * 1000\n",
    "    n_paid_rows = int(rate * n_rows + 1e-8)  # 例如 0.536 * 1000 = 536\n",
    "\n",
    "    # 获取当月第一天和最后一天\n",
    "    year = 2022\n",
    "    last_day = calendar.monthrange(year, month)[1]\n",
    "    start_dt = datetime(year, month, 1, 0, 0, 0)\n",
    "    end_dt = datetime(year, month, last_day, 23, 59, 59)\n",
    "\n",
    "    for i in range(n_rows):\n",
    "        # 生成一个订单时间（下单时间）—— 注意这里改成“位置参数”写法\n",
    "        order_time = fake.date_time_between_dates(start_dt, end_dt)\n",
    "\n",
    "        # 简单逻辑：发货时间 >= 付款时间 >= 下单时间\n",
    "        payment_date = fake.date_time_between_dates(order_time, end_dt)\n",
    "        shipping_date = fake.date_time_between_dates(payment_date, end_dt)\n",
    "\n",
    "        # 为了控制汇总完成率：所有行 payable_amount = 1.00\n",
    "        payable_amount = 1.00\n",
    "        # 前 n_paid_rows 行视为“已完成付款”，已付 = 1，其余已付 = 0\n",
    "        paid_amount = 1.00 if i < n_paid_rows else 0.00\n",
    "\n",
    "        quantity = 1\n",
    "        unit_price = round(random.uniform(100, 500), 2)\n",
    "        product_amount = round(unit_price * quantity, 2)\n",
    "        original_price = round(product_amount * random.uniform(1.0, 1.5), 2)\n",
    "\n",
    "        row = {\n",
    "            \"id\": cur_id,\n",
    "            \"internal_order_number\": fake.uuid4(),\n",
    "            \"online_order_number\": fake.uuid4(),\n",
    "            \"store_name\": random.choice([\"旗舰店A\", \"旗舰店B\", \"直营店C\"]),\n",
    "            \"full_channel_user_id\": fake.uuid4().replace(\"-\", \"\")[:32],\n",
    "            \"shipping_date\": shipping_date,\n",
    "            \"payment_date\": payment_date,\n",
    "            \"payable_amount\": payable_amount,\n",
    "            \"paid_amount\": paid_amount,\n",
    "            \"status\": random.choice(status_choices),\n",
    "            \"consignee\": fake.name(),\n",
    "            \"spu\": f\"SPU{random.randint(1000, 9999)}\",\n",
    "            \"order_time\": order_time,\n",
    "            \"province\": fake.province(),\n",
    "            \"city\": fake.city_name(),\n",
    "            \"platform\": random.choice(platform_choices),\n",
    "            \"sub_order_number\": fake.uuid4(),\n",
    "            \"online_sub_order_number\": fake.uuid4(),\n",
    "            \"original_online_order_number\": fake.uuid4(),\n",
    "            \"sku\": f\"SKU{random.randint(100000, 999999)}\",\n",
    "            \"quantity\": quantity,\n",
    "            \"unit_price\": unit_price,\n",
    "            \"product_name\": fake.word() + \"商品\",\n",
    "            \"color_and_spec\": random.choice([\"红色 M\", \"黑色 L\", \"白色 S\"]),\n",
    "            \"product_amount\": product_amount,\n",
    "            \"original_price\": original_price,\n",
    "            \"is_gift\": random.choice([\"是\", \"否\"]),\n",
    "            \"sub_order_status\": random.choice(status_choices),\n",
    "            \"refund_status\": random.choice(refund_status_choices),\n",
    "            \"registered_quantity\": quantity,\n",
    "            \"actual_refund_quantity\": 0,\n",
    "        }\n",
    "        rows.append(row)\n",
    "        cur_id += 1\n",
    "\n",
    "# 构造 DataFrame，模拟 erp_order 表\n",
    "erp_order_df = pd.DataFrame(rows)\n",
    "\n",
    "# =============== 2. 按月份汇总完成率（与 Excel 表完全一致） ===============\n",
    "\n",
    "# 提取月份\n",
    "erp_order_df[\"month\"] = erp_order_df[\"order_time\"].dt.month\n",
    "\n",
    "monthly_summary = (\n",
    "    erp_order_df.groupby(\"month\")\n",
    "    .agg(\n",
    "        payable=(\"payable_amount\", \"sum\"),\n",
    "        paid=(\"paid_amount\", \"sum\"),\n",
    "    )\n",
    "    .reset_index()\n",
    ")\n",
    "\n",
    "monthly_summary[\"完成率\"] = (monthly_summary[\"paid\"] / monthly_summary[\"payable\"] * 100).round(2)\n",
    "monthly_summary[\"月份\"] = monthly_summary[\"month\"].astype(str) + \"月\"\n",
    "\n",
    "# 只保留需要用于画图的列，并按月份排序\n",
    "summary_for_plot = monthly_summary[[\"月份\", \"完成率\"]].sort_values(\"月份\").reset_index(drop=True)\n",
    "\n",
    "# 目标表（来自 Excel）\n",
    "target_df = pd.DataFrame({\n",
    "    \"月份\": [f\"{m}月\" for m in range(1, 9)],\n",
    "    \"完成率\": [53.60, 49.80, 52.70, 70.80, 60.90, 49.60, 58.60, 70.40],\n",
    "})\n",
    "\n",
    "# 校验：汇总结果与目标表完全一致（不一致会抛异常）\n",
    "pd.testing.assert_frame_equal(summary_for_plot, target_df)\n",
    "print(\"校验通过：汇总月度完成率与目标表完全一致！\")\n",
    "print(summary_for_plot)\n",
    "\n",
    "# =============== 3. 使用 Matplotlib 复刻 Excel 风格的可视化 ===============\n",
    "\n",
    "# 中文字体设置\n",
    "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"]\n",
    "plt.rcParams[\"axes.unicode_minus\"] = False\n",
    "\n",
    "months = summary_for_plot[\"月份\"].tolist()\n",
    "rates = summary_for_plot[\"完成率\"].tolist()\n",
    "\n",
    "x = np.arange(1, len(months) + 1)\n",
    "y = np.array(rates)\n",
    "\n",
    "# 画布 & 背景\n",
    "fig, ax = plt.subplots(figsize=(12, 6), facecolor=\"#121738\")\n",
    "ax.set_facecolor(\"#121738\")\n",
    "\n",
    "# 竖线\n",
    "for xi, yi in zip(x, y):\n",
    "    ax.vlines(xi, 40, yi, color=\"#ff4b7d\", linewidth=2)\n",
    "\n",
    "# 菱形标记点\n",
    "ax.scatter(x, y, marker=\"D\", s=80, edgecolors=\"#ff4b7d\",\n",
    "           facecolors=\"#121738\", linewidths=2, zorder=3)\n",
    "\n",
    "# 数据标签\n",
    "for xi, yi in zip(x, y):\n",
    "    ax.text(xi, yi + 1, f\"{yi:.2f}%\", ha=\"center\", va=\"bottom\",\n",
    "            color=\"white\", fontsize=12)\n",
    "\n",
    "# X 轴\n",
    "ax.set_xticks(x)\n",
    "ax.set_xticklabels(months, color=\"white\", fontsize=12)\n",
    "\n",
    "# Y 轴\n",
    "ax.set_ylim(40, 80)\n",
    "ax.set_yticks([])\n",
    "for spine in [\"top\", \"right\", \"left\"]:\n",
    "    ax.spines[spine].set_visible(False)\n",
    "ax.spines[\"bottom\"].set_color(\"#ffffff\")\n",
    "ax.spines[\"bottom\"].set_linewidth(1.0)\n",
    "\n",
    "ax.grid(False)\n",
    "\n",
    "# 标题与副标题\n",
    "fig.suptitle(\"2022年1-8月公司计划完成率\",\n",
    "             x=0.05, y=0.95, ha=\"left\",\n",
    "             color=\"white\", fontsize=20, fontweight=\"bold\")\n",
    "\n",
    "subtitle = \"公司整体完成率55%，4月和8月超过70%，2月和6月较低未过半\"\n",
    "fig.text(0.05, 0.85, subtitle, ha=\"left\", color=\"white\", fontsize=14)\n",
    "\n",
    "# 底部注释\n",
    "fig.text(0.05, 0.06,\n",
    "         \"*注：数据来源于公司销售系统，统计日期截至2022.08.31\",\n",
    "         ha=\"left\", color=\"white\", fontsize=10)\n",
    "\n",
    "plt.tight_layout(rect=[0.03, 0.08, 0.97, 0.9])\n",
    "plt.show()\n"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "2253021b-df25-4c2d-8821-064ed0af1cf2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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